PaddleHub
best-of-ml-python
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PaddleHub | best-of-ml-python | |
---|---|---|
9 | 16 | |
12,501 | 15,302 | |
0.7% | 1.3% | |
1.9 | 7.9 | |
6 months ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PaddleHub
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Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
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[R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
Hmm, is the code published? The thing on github just makes requests to a remote server.
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PaddleHub ERNIE-ViLG
PaddleHub has many interesting model, I have starred it. https://github.com/PaddlePaddle/PaddleHub
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[R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
Was someone able to find out how big the model is and what hardware you need to run it? That info seems to be missing here.
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
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ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
note this is an updated version, more info here (in chinese): https://github.com/PaddlePaddle/PaddleHub/tree/develop/modules/image/text_to_image/ernie_vilg
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A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
GitHub repo.
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[P] PaddleHub: An awesome and easy-to-use pre-trained models toolkit
code:https://github.com/PaddlePaddle/PaddleHub
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
spleeter - Deezer source separation library including pretrained models.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
allennlp - An open-source NLP research library, built on PyTorch.
dtale - Visualizer for pandas data structures
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
tsdf-fusion-python - Python code to fuse multiple RGB-D images into a TSDF voxel volume.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data